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The linkage of depressive and anxiety disorders with the expected labor market affiliation (ELMA): a longitudinal multi-state study of Danish employees

OBJECTIVE: Depressive and anxiety disorders are prevalent among employees in general. Still, knowledge regarding the contribution of these disorders to the dynamics of the labor market in terms of working time, sickness absence, and unemployment is scarce. We aim to quantify the linkage of depressiv...

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Autores principales: Pedersen, Jacob, Framke, Elisabeth, Thorsen, Sannie Vester, Sørensen, Kathrine, Andersen, Malene Friis, Rugulies, Reiner, Solovieva, Svetlana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823083/
https://www.ncbi.nlm.nih.gov/pubmed/35857111
http://dx.doi.org/10.1007/s00420-022-01906-z
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author Pedersen, Jacob
Framke, Elisabeth
Thorsen, Sannie Vester
Sørensen, Kathrine
Andersen, Malene Friis
Rugulies, Reiner
Solovieva, Svetlana
author_facet Pedersen, Jacob
Framke, Elisabeth
Thorsen, Sannie Vester
Sørensen, Kathrine
Andersen, Malene Friis
Rugulies, Reiner
Solovieva, Svetlana
author_sort Pedersen, Jacob
collection PubMed
description OBJECTIVE: Depressive and anxiety disorders are prevalent among employees in general. Still, knowledge regarding the contribution of these disorders to the dynamics of the labor market in terms of working time, sickness absence, and unemployment is scarce. We aim to quantify the linkage of depressive and anxiety disorders with labor market participation using the expected labor market affiliation method (ELMA), in a large sample of Danish employees. METHODS: We combined three survey waves on occupational health with six high-quality national registers in N = 43,148 Danish employees, of which the 2012 survey contributed 29,665 person years, the 2014 survey 33,043 person years, and the 2016 survey 35,375 person years. We used the new ELMA method to estimate the multi-state transition probabilities and 2-year expected time in work, sickness absence, and unemployment. Depressive and anxiety disorders were assessed by the Major Depression Inventory and the SCL-ANX4 scales, respectively. We adjusted for multiple variables by applying inverse probability weighting in groups of gender and age. RESULTS: Depressive and anxiety disorders among employees link to reduced labor market affiliation by significantly changed transitions probabilities between the labor markets states, viewed as reduced working time by 4–51 days (in two years), increased time in sickness absence by 6–44 days (in two years), and unemployment by 6–12 days (in two years) when compared to employees without depression or anxiety disorders. The results were most pronounced for women employees and for employees with both depression and anxiety disorders. CONCLUSIONS: The study reveals detailed insight into what extent depression and anxiety disorders influence the labor market affiliation, in terms of the complex interrelation between working time, sickness absence, and unemployment. The study emphasizes the importance of preventing and handling depressive and anxiety disorders among employees for strengthening work participation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00420-022-01906-z.
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spelling pubmed-98230832023-01-08 The linkage of depressive and anxiety disorders with the expected labor market affiliation (ELMA): a longitudinal multi-state study of Danish employees Pedersen, Jacob Framke, Elisabeth Thorsen, Sannie Vester Sørensen, Kathrine Andersen, Malene Friis Rugulies, Reiner Solovieva, Svetlana Int Arch Occup Environ Health Original Article OBJECTIVE: Depressive and anxiety disorders are prevalent among employees in general. Still, knowledge regarding the contribution of these disorders to the dynamics of the labor market in terms of working time, sickness absence, and unemployment is scarce. We aim to quantify the linkage of depressive and anxiety disorders with labor market participation using the expected labor market affiliation method (ELMA), in a large sample of Danish employees. METHODS: We combined three survey waves on occupational health with six high-quality national registers in N = 43,148 Danish employees, of which the 2012 survey contributed 29,665 person years, the 2014 survey 33,043 person years, and the 2016 survey 35,375 person years. We used the new ELMA method to estimate the multi-state transition probabilities and 2-year expected time in work, sickness absence, and unemployment. Depressive and anxiety disorders were assessed by the Major Depression Inventory and the SCL-ANX4 scales, respectively. We adjusted for multiple variables by applying inverse probability weighting in groups of gender and age. RESULTS: Depressive and anxiety disorders among employees link to reduced labor market affiliation by significantly changed transitions probabilities between the labor markets states, viewed as reduced working time by 4–51 days (in two years), increased time in sickness absence by 6–44 days (in two years), and unemployment by 6–12 days (in two years) when compared to employees without depression or anxiety disorders. The results were most pronounced for women employees and for employees with both depression and anxiety disorders. CONCLUSIONS: The study reveals detailed insight into what extent depression and anxiety disorders influence the labor market affiliation, in terms of the complex interrelation between working time, sickness absence, and unemployment. The study emphasizes the importance of preventing and handling depressive and anxiety disorders among employees for strengthening work participation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00420-022-01906-z. Springer Berlin Heidelberg 2022-07-20 2023 /pmc/articles/PMC9823083/ /pubmed/35857111 http://dx.doi.org/10.1007/s00420-022-01906-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Pedersen, Jacob
Framke, Elisabeth
Thorsen, Sannie Vester
Sørensen, Kathrine
Andersen, Malene Friis
Rugulies, Reiner
Solovieva, Svetlana
The linkage of depressive and anxiety disorders with the expected labor market affiliation (ELMA): a longitudinal multi-state study of Danish employees
title The linkage of depressive and anxiety disorders with the expected labor market affiliation (ELMA): a longitudinal multi-state study of Danish employees
title_full The linkage of depressive and anxiety disorders with the expected labor market affiliation (ELMA): a longitudinal multi-state study of Danish employees
title_fullStr The linkage of depressive and anxiety disorders with the expected labor market affiliation (ELMA): a longitudinal multi-state study of Danish employees
title_full_unstemmed The linkage of depressive and anxiety disorders with the expected labor market affiliation (ELMA): a longitudinal multi-state study of Danish employees
title_short The linkage of depressive and anxiety disorders with the expected labor market affiliation (ELMA): a longitudinal multi-state study of Danish employees
title_sort linkage of depressive and anxiety disorders with the expected labor market affiliation (elma): a longitudinal multi-state study of danish employees
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823083/
https://www.ncbi.nlm.nih.gov/pubmed/35857111
http://dx.doi.org/10.1007/s00420-022-01906-z
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